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setup.py
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setup.py
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import os
import glob
import torch
from torch.utils.cpp_extension import CUDA_HOME
from torch.utils.cpp_extension import CppExtension
from torch.utils.cpp_extension import CUDAExtension
from setuptools import find_packages
from setuptools import setup
requirements = ["torch", "torchvision"]
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "vtpack", "layers", "csrc")
main_file = glob.glob(os.path.join(extensions_dir, "vision.cpp"))
source_cpu = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu"))
sources = main_file + source_cpu
extension = CppExtension
define_macros = []
if torch.cuda.is_available() and CUDA_HOME is not None:
extension = CUDAExtension
sources += source_cuda
define_macros += [("WITH_CUDA", None)]
extra_compile_args = {
"cxx": ["-O3"],
"nvcc": [
"-O3",
"-DCUDA_HAS_FP16=1",
"-D__CUDA_NO_HALF_OPERATORS__",
"-D__CUDA_NO_HALF_CONVERSIONS__",
"-D__CUDA_NO_HALF2_OPERATORS__",
"-lcudnn",
]
}
else:
raise NotImplementedError("Cuda is not available.")
sources = [os.path.join(extensions_dir, s) for s in sources]
include_dirs = [extensions_dir]
ext_modules = [
extension(
"vtpack._C",
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
libraries=["cudnn"],
)
]
if not os.path.exists("vtpack"):
os.makedirs("vtpack")
return ext_modules
setup(
name="vtpack",
version="1.0",
author="Lin Song",
url="https://git-core.megvii-inc.com/songlin/vtpack",
description="VTPack is a research codebase",
packages=find_packages(exclude=("configs", "tests",)),
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
)